首页> 外文期刊>Pure and Applied Geophysics >Statistical Analysis of Triggered Seismicity in the Kresna Region of SW Bulgaria (1904) and the Umbria-Marche Region of Central Italy (1997)
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Statistical Analysis of Triggered Seismicity in the Kresna Region of SW Bulgaria (1904) and the Umbria-Marche Region of Central Italy (1997)

机译:保加利亚西南克雷斯纳地区(1904年)和意大利中部翁布里亚-马尔什地区(1997年)触发地震的统计分析

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A version of the restricted trigger model is used to analyse the temporal behaviour of some aftershock sequences. The conditional intensity function of the model is similar to that of the Epidemic Type Aftershock-Sequence (ETAS) model with the restriction that only the aftershocks of magnitude bigger than or equal to some threshold M tr can trigger secondary events. For this reason we have named the model Restricted Epidemic Type Aftershock-Sequence (RETAS) model. Varying the triggering threshold we examine the variants of the RETAS model which range from the Modified Omori Formula (MOF) to the ETAS model, including such models as limit cases. In this way we have a quite large set of models in which to seek the model that fits best an aftershock sequence bringing out the specific features of the seismotectonic region struck by the crisis. We have applied the RETAS model to the analysis of two aftershock sequences: The first is formed by the events which followed the strong earthquake of M=7.8 which occurred in Kresna, SW Bulgaria, in 1904. The second includes three main shocks and a large swarm of minor shocks following the quake of 26 September 1997 in the Umbria-Marche region, central Italy. The MOF provides the best fit to the sequence in Kresna; that leads to the thought that just the stress field changes due to the very strong main shock generate the whole sequence. On the contrary, the complex behaviour of the seismic sequence in Umbria-Marche appears when we make the threshold magnitude vary. Setting the cut-off magnitude M 0=2.9 the best fit is provided by the ETAS model, while if we raise the threshold magnitude M 0=3.6 and set M tr =5.0, the RETAS model turns out to be the best model. In fact, observing the time distribution of this reduced data set, it appears more evident that especially the strong secondary events are followed by a cluster of aftershocks.
机译:受限触发模型的一个版本用于分析某些余震序列的时间行为。该模型的条件强度函数类似于流行型余震序列(ETAS)模型,但条件是只有大小大于或等于某个阈值M tr 的余震才能触发二次事件。因此,我们将模型命名为“受限流行类型余震序列”(RETAS)模型。改变触发阈值,我们检查了RETAS模型的变体,其范围从修改的大森公式(MOF)到ETAS模型,包括极限情况等模型。这样,我们就有大量模型,可以在其中寻找最适合余震序列的模型,以揭示出受危机打击的地震构造区域的特定特征。我们已将RETAS模型应用于两个余震序列的分析:第一个是1904年保加利亚西南部克雷什纳发生的M = 7.8强烈地震之后的事件。第二个包括三个主要地震和一个大地震。 1997年9月26日意大利中部翁布里亚-马尔什地区发生地震后,发生了一系列小震。 MOF最适合Kresna中的序列;这导致人们认为,仅由于非常强的主冲击而导致的应力场发生变化,才会产生整个序列。相反,当我们使阈值幅度变化时,翁布里亚-马什地震序列的复杂行为就会出现。设置截止量级M 0 = 2.9时,ETAS模型提供了最佳拟合,而如果我们提高阈值量级M 0 = 3.6并设置M tr = 5.0, RETAS模型被证明是最好的模型。实际上,观察此缩减的数据集的时间分布,似乎更明显的是,尤其是强烈的次要事件之后是一连串的余震。

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